Data Engineer at Slooze · Remote, Coimbatore · 0 - 4 years · ₹2L - ₹12L / yr · Bootstrapped · Remote friendly · Posted 6 Mar 2026

About the Role
We’re looking for a Data Engineer who can turn messy, unstructured information into clean, usable insights. You’ll be building crawlers, integrating APIs, and setting up data flows that power our analytics and AI layers. If you love data plumbing as much as data puzzles — this role is for you.
Responsibilities
- Build and maintain Python-based data pipelines, crawlers, and integrations with 3rd-party APIs.
Perform brute-force analytics and exploratory data work on crawled datasets to surface trends and anomalies.
- Develop and maintain ETL workflows — from raw ingestion to clean, structured outputs.
- Collaborate with product and ML teams to make data discoverable, queryable, and actionable.
- Optimize data collection for performance, reliability, and scalability.
Requirements
- Strong proficiency in Python and Jupyter notebooks.
- Experience building web crawlers / scrapers and integrating with REST / GraphQL APIs.
- Solid understanding of data structures and algorithms (DSA).
- Comfort with quick, hands-on analytics — slicing and validating data directly.
Good to Have
- Experience with schema design and database modeling.
- Exposure to both SQL and NoSQL databases; familiarity with vector databases is a plus.
- Knowledge of data orchestration tools (Dagster preferred).
- Understanding of data lifecycle management — from raw to enriched layers.
Why Join Us
We’re not offering employment — we’re offering ownership.
If you’re here for a job, this isn’t your place.
We’re building the data spine of a new-age supply chain intelligence platform — and we need people who can crush constraints, move fast, and make impossible things work.
You’ll have room to think, build, break, and reinvent — not follow.
If you thrive in chaos and create clarity, you’ll fit right in.
Screening Challenge
Before we schedule a call, we have an exciting challenge for you. Please go through the link below and submit your solution to us with the Subject line: SUB: [Role] [Full Name]

About Slooze
About
Your Supply Chain Choreographer !!
Tech stack
Candid answers by the company
We are building SOTA AI for Supply Chain SaaS
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About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
2+ years of experience in SQL, Python, and Snowflake (or equivalent cloud data warehouse), Azure Cloud services.
Role Overview
If you're a Data Craftsperson who takes pride in clean, well-tested data solutions and believes in the principles of Extreme Programming, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle — you'll get hands-on experience across data engineering, analytics, cloud infrastructure, and direct client communication. This role sits primarily in data engineering (80%) with a meaningful analytics component (20%), supporting our client's data systems end-to-end.
What You'll Do
- Design, build, and maintain data pipelines and infrastructure using SQL and Python
- Work within Snowflake to build and optimize data models supporting business use cases
- Parse and process structured and semi-structured data (JSON, XML) from varied sources
- Diagnose issues across raw, intermediate, and summary tables
- Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
- Investigate and resolve data quality issues, including time-sensitive or urgent ones
- Identify opportunities to consolidate models and maintain a single source of truth (SSOT)
Requirements
What We're Looking For
- 2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)
- 2+ years of experience with Python for data engineering tasks (required)
- Experience with Snowflake or an equivalent cloud data warehouse (required)
- Experience working with Snowflake Coco or any other AI tools(required)
- Experience parsing JSON and XML data (a plus)
- A strong eye for data quality and attention to detail
- Knowledge of Git (required)
- Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
- Knowledge of data infrastructure/modeling tools like DBT, Fivetran (a plus)
- Experience with BI tools like Power BI(a plus, not core to this role)
- Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies (a plus)
- Knowledge of SSIS packages (a plus)
- Familiarity with CI/CD methodologies
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Job Title : Data / AI / GenAI – Engineering & Analytics
Experience : 4+ Years
Location : Noida / Gurugram / Ahmedabad
Employment Type : Full-time | On-site at client location
Working Days : 5 days per week
Working Hours : Standard business hours
Position Overview : We are seeking professionals to deliver modern data engineering, business intelligence, cloud analytics and AI-powered applications, according to their specialization.
Mandatory Skills :
Python, SQL, ETL/ELT, Data Engineering, Power BI, Azure Data Factory, Databricks, PySpark, Data Modeling, GenAI/LLMs, RAG, Vector Databases, AI Agents (as per role specialization).
Key Roles / Specializations :
- Power BI Developers : Dashboards, DAX, Power Query, reporting and data modeling
- Azure Data Engineers : Azure Data Factory, Data Lake, Azure SQL and cloud pipelines
- Databricks Engineers : Apache Spark, PySpark, Delta Lake and scalable processing
- Data Engineers : ETL/ELT, SQL, Python, data warehousing and quality
- GenAI / RAG Engineers : LLMs, prompts, embeddings, vector databases and retrieval pipelines
- Agentic AI Engineers : AI agents, tool calling, orchestration and multi-agent workflows
Key Responsibilities :
- Design, develop and maintain data pipelines, analytics solutions or AI applications.
- Build and optimize data integration, transformation and processing workflows.
- Develop dashboards and analytical models for business decision-making.
- Use cloud data platforms and modern engineering frameworks.
- Develop and evaluate LLM applications, RAG solutions or AI agents as applicable.
- Ensure data quality, security, performance and reliability.
- Collaborate with engineering teams and stakeholders on testing, deployment and documentation.
Required Skills & Qualifications :
- Bachelor’s degree in Computer Science, IT, Data Science, Engineering or related discipline.
- 4–5 years of relevant experience in data, analytics, AI or software engineering.
- Hands-on expertise in at least one listed specialization; not all technologies are required.
- Relevant Python, SQL, DAX or other technical skills depending on the position.
- Understanding of cloud platforms, APIs, integration and software practices.
Preferred Qualifications :
- Azure, Databricks or Microsoft Fabric experience.
- For GenAI roles : Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex or LangGraph.
- For relevant roles : vector databases, CI/CD, Docker, MLOps or LLMOps.
Note : Candidates are expected to have expertise in their relevant specialization, not in every listed technology or role.
Job Summary
Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
Experience with Google Cloud Platform (GCP) will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
- Develop complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain reliable data integration workflows across multiple data sources.
- Perform data cleansing, validation, transformation, and quality checks.
- Analyze data and provide insights to support business and technical requirements.
- Implement and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
- Troubleshoot data pipeline failures, performance issues, and production incidents.
- Optimize data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
- Contribute to cloud-based data engineering initiatives, preferably on GCP.
Required Skills
- 5–7 years of hands-on experience in Data Engineering.
- Strong programming skills in Python.
- Strong expertise in Advanced SQL and database concepts.
- Hands-on experience with ETL/ELT processes and data pipelines.
- Good understanding of Data Warehousing and Data Modeling concepts.
- Experience with CI/CD practices and tools.
- Strong understanding of DevOps principles, automation, and deployment processes.
- Strong data analytics and problem-solving skills.
- Experience working with large datasets and performance optimization.
- Good understanding of Git/version control and software development best practices.
Good to Have
- Hands-on experience with Google Cloud Platform (GCP).
- Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
- Experience with containerization/orchestration technologies such as Docker/Kubernetes.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of cloud-based data architecture and distributed data processing.
Preferred Candidate Profile
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently as well as in a collaborative team environment.
- Strong ownership of data pipelines and production systems.
- Candidates who can join at short notice are preferred.
Mandatory Skills
Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops
We are hiring for a Data Engineer & Java scala for a full-time opportunity in Bangalore.
Experience: 4–10 Years
Must-Have Skills:
Java / Scala / Python, Data Engineering, Databricks / Snowflake, and Cloud (AWS / Azure / GCP).
We are looking for strong software engineers with hands-on experience in data platform development, scalable backend programming, data integration, and cloud technologies.
Experience in Banking, Capital Markets, Market Risk, or Regulatory Reporting will be an added advantage.
Job Description – Data Engineer
Role: Data Engineer
Experience: 9+ Years
Location: Bangalore / Hyderabad
Notice Period: Immediate to 15 Days
Interview Process: 1st Round – Virtual | 2nd Round – F2F
Mandatory Skills
- Python
- PySpark
- SQL
- Azure Data Engineering
Job Description
We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.
Key Responsibilities
- Develop and maintain scalable data engineering solutions using Azure.
- Build and optimize data processing pipelines using PySpark and Python.
- Write complex SQL queries for data extraction and transformation.
- Work with Azure data services and cloud-based data platforms.
- Perform data processing, transformation, and integration.
- Troubleshoot data pipeline and production issues.
- Collaborate with technical and business teams to deliver data solutions.
Preferred: Immediate to 15 Days joiners.








